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29 Cards in this Set
- Front
- Back
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the theoretical population |
the group of people that we want to generalize about the group of people we want to study about |
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the study population |
the group of people we actually have access too |
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the sampling frame |
how to get access |
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the sample |
people who actually respond |
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accessible population |
a group you can actually get access to when sampling |
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bias |
a systematic error to an estimate. any factor that leads to an incorrect estimate |
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generalizing |
the process of making an inference that the results observed in a sample would hold in the population of interest, is it reliable |
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generalizability |
the validity of such an inference or conclusion |
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internal validity |
extent to which a causal inference or conclusion is warrented, over a confounding variables |
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external |
generalizability, will relate to the general population |
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improving external validity |
having a good representative sample good generalization to the public proximial similarity effectively replications- having more samples that give the same answer |
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sampling model |
a model for generalization in which you identify your population. draw a fair sample, conduct your research and finally generalize your results from the sample to the population |
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proximal simiarity model |
you want to get the average populations not the poplations that kinda weird or on the outskirts of the general norm. the degree in which other context is similar to your study context |
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how do we determine sample size? |
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non probability sampling |
sampling that doesn't involve random selection |
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probability sampling |
sampling that does involve random selection calculations` |
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convenient sampling |
they are accecible but not random |
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WEIRD |
western,educated, industrialized, rich and democratic |
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modal instance sampling |
selecting based on specific characteristics |
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expert sampling |
choose sample of people with particular skills or expertise |
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quota sampling |
when you want a sample that relates to the population of interest. will ask 50 women and 50 men, noproportional becauses there arent 5050 proportion would be wanting a large majority and small minority because thats the population |
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heterogeneity sampling |
sampling for increasing diversity. dont look at proportions. talking to transgenders on genderneutral bathrooms |
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snowball samping |
when you have one person who is very different and you ask them to ask there friends to come in and do something for sampling |
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samping error |
standard deviation standard error sampling error error in measurements associated with sampling how does the score of our sample,different from the same I would actually get from the actual population |
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standard error |
the amount of scattering of means around the main mean in the sampling distribution |
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stratified random sampling |
divide your sample into group based on characteristics, randomly sample from each group |
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systematic random sampling |
specific system, mathamatical calculation on how to draw on a sample |
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multistage sampling |
combining several techniques for greater effectivness |
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gradient of similarity |
how your study context can be related to other potential contexts |
